code: def get_allocation_counts_dask_persist(
      return_allocations=False, logging=True
  ):
      def decorator(func):
          def wrapper(*args, **kwargs):
              args = [persist_dask_object(a) for a in args]
              kwargs = {
                  k: persist_dask_object(v) for k, v in kwargs.items()
              }
              client = default_client()
              client.run(set_statistics_adaptor)
              st = time.time()
              return_val = func(*args, **kwargs)
              return_val = persist_dask_object(return_val)
              if isinstance(return_val, (list, tuple)):
                  return_val = [
                      persist_dask_object(d) for d in return_val
                  ]
              et = time.time()
              allocation_counts = client.run(_get_allocation_counts)
              if logging:
                  _print_allocation_statistics(
                      func, args, kwargs, et - st, allocation_counts
                  )
              client.run(set_statistics_adaptor)
              if return_allocations:
                  return return_val, allocation_counts
              else:
                  return return_val
  
          return wrapper
  
      return decorator
  
imports: import os
  import tempfile
  from pprint import pformat
  import time
  from dask.distributed import wait, default_client
  from dask import persist
  from dask.distributed import Client
  from dask.base import is_dask_collection
  from dask_cuda import LocalCUDACluster
  from dask_cuda.initialize import initialize
  from cugraph.dask.comms import comms
  from cugraph.dask.common.mg_utils import get_visible_devices
  from cugraph.generators import rmat
  import numpy
label_desc: Use image node_id 12 for calling a global function with example usage: get_allocation_counts_dask_persist(return_allocations, logging) and returns: decorator, wrapper, return_val,  allocation_counts, return_val